Total 56,068 skills, AI & Machine Learning has 9341 skills
Showing 12 of 9341 skills
Launch Loki Mode autonomous SDLC agent. Handles PRD-to-deployment with minimal human intervention. Invoke for multi-phase development tasks, bug fixing campaigns, or full product builds.
Greet the user warmly. Use when the user says hello, hi, or any greeting.
Use when user wants their Claude Code pet (/buddy) to sing a song. Triggers on "buddy sings", "let my buddy sing", "buddy sing", "make my pet sing", "宠物唱歌", "让宠物唱首歌", "让buddy唱歌", "buddy来一首", "我的宠物会唱歌吗", "pet sings", "let my companion sing", or any request that combines the concept of their Claude Code buddy/pet/companion with singing or music.
Guide for creating agent skills that follow the Agent Skills specification. Use when user wants to create, write, draft, or improve a skill. Covers structure, description optimization, progressive disclosure, scripts, and evaluation.
Audit your Claude Code setup for token waste and context bloat. Use when the user says "audit my context", "check my settings", "why is Claude so slow", "token optimization", "context audit", or runs /context-audit. Starts by running /context to see real overhead, then audits MCP servers, CLAUDE.md rules, skills, settings, and file permissions. Returns a health score with specific fixes.
Debug and harden production LLM prompts — handle prompt injection, output format drift, instruction forgetting in long contexts, and cross-model portability issues. Use this skill when the user ships an LLM-powered feature to production and needs to diagnose why outputs are inconsistent, unsafe, or regressed after model updates — NOT for basic 'write a better prompt' questions.
Instrument an existing codebase with LaunchDarkly AI Config tracking. Walks the four-tier ladder (managed runner → provider package → custom extractor + trackMetricsOf → raw manual) and picks the lowest-ceremony option that still captures duration, tokens, and success/error.
Use when user needs expert help, wants to summon a specialist, says "help me with", "I need guidance", or has a task requiring domain expertise. Creates and manages a growing collection of expert agents.
Connect an xAI account (X Premium / X Premium+ / SuperGrok / SuperGrok Heavy) via OAuth 2.0 device-code login. Use when the user wants to sign in with their xAI account (e.g. "use my SuperGrok", "log in with Grok", "connect my X Premium").
Current LLM prices. How to use the Narev API endpoints — list model pricing (GET) and calculate call cost (POST). Use when the user needs endpoint behavior, parameters, responses, or errors; real-time per-token rates; token-to-USD math for one call; or when they mention "Narev pricing", "model rates", "USD per token", "cost calculation", or "AI unit economics". For committing catalog snapshots or generator scripts, use update-llm-pricing.
Model visible context
Audit the developer experience of a product, SDK, docs site, or SKILL.md by dropping multiple Claude subagents at it with only a tiny task prompt and real tools (WebFetch, Bash, Write). Agents must discover the docs themselves, install deps, ask for credentials if needed, and attempt real execution. The skill captures each agent's trace — tool calls, retries, wall time, errors — and scores on Setup Friction, Speed, Efficiency, Error Recovery, and Doc Quality, then emits an HTML report with an A–F grade and concrete fixes. Use when the user asks to audit agent experience, test a skill, audit docs for agents, check if a SDK is agent-friendly, validate a SKILL.md, measure agent DX, or benchmark how painful onboarding is for an AI agent. Triggers: 'audit agent experience', 'test this skill', 'audit docs for agents', 'is my SDK agent-friendly', 'run a DX audit', 'agent experience test', 'test my docs', 'how do agents do with my product'.